Package: ggm Title: Graphical Markov Models with Mixed Graphs Version: 2.5.2.9000 Authors@R: c(person(given = "Giovanni M.", family = "Marchetti", email = "giovanni.marchetti@unifi.it", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0003-4413-9349")), person("Mathias", "Drton", email = "mathias.drton@tum.de", role = "aut", comment = c(ORCID = "https://orcid.org/0000-0001-5614-3025")), person("Kayvan", "Sadeghi", email = "k.sadeghi@ucl.ac.uk", role = "aut", comment = c(ORCID = "https://orcid.org/0000-0001-7314-744X"))) Depends: R (>= 3.6.0), methods Imports: igraph Suggests: graph, BiocManager, dagitty biocViews: Description: Provides functions for defining mixed graphs containing three types of edges, directed, undirected and bi-directed, with possibly multiple edges. These graphs are useful because they capture fundamental independence structures in multivariate distributions and in the induced distributions after marginalization and conditioning. The package is especially concerned with Gaussian graphical models for (i) ML estimation for directed acyclic graphs, undirected and bi-directed graphs and ancestral graph models (ii) testing several conditional independencies (iii) checking global identification of DAG Gaussian models with one latent variable (iv) testing Markov equivalences and generating Markov equivalent graphs of specific types. License: GPL-2 Encoding: UTF-8 LazyData: true NeedsCompilation: no Config/roxygen2/version: 8.0.0 Roxygen: list(markdown = TRUE) Config/pak/sysreqs: libglpk-dev libxml2-dev Repository: https://stathin.r-universe.dev Date/Publication: 2026-07-24 17:22:31 UTC RemoteUrl: https://github.com/stathin/ggm RemoteRef: HEAD RemoteSha: 3a4d6e5297e1dab6807100d260254bbd4cd0941b Packaged: 2026-07-24 18:24:29 UTC; root Author: Giovanni M. Marchetti [aut, cre] (ORCID: ), Mathias Drton [aut] (ORCID: ), Kayvan Sadeghi [aut] (ORCID: ) Maintainer: Giovanni M. Marchetti